Forwarded from Machine Learning with Python
All assignments for the #Stanford The Modern Software Developer course are now available online.
This is the first full-fledged university course that covers how code-generative #LLMs are changing every stage of the development lifecycle. The assignments are designed to take you from a beginner to a confident expert in using AI to boost productivity in development.
Enjoy your studies! ✌️
https://github.com/mihail911/modern-software-dev-assignments
https://t.me/CodeProgrammer
This is the first full-fledged university course that covers how code-generative #LLMs are changing every stage of the development lifecycle. The assignments are designed to take you from a beginner to a confident expert in using AI to boost productivity in development.
Enjoy your studies! ✌️
https://github.com/mihail911/modern-software-dev-assignments
https://t.me/CodeProgrammer
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📌 Optimizing Data Transfer in AI/ML Workloads
🗂 Category: DEEP LEARNING
🕒 Date: 2026-01-03 | ⏱️ Read time: 16 min read
A deep dive on data transfer bottlenecks, their identification, and their resolution with the help…
#DataScience #AI #Python
🗂 Category: DEEP LEARNING
🕒 Date: 2026-01-03 | ⏱️ Read time: 16 min read
A deep dive on data transfer bottlenecks, their identification, and their resolution with the help…
#DataScience #AI #Python
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📌 How to Keep MCPs Useful in Agentic Pipelines
🗂 Category: AGENTIC AI
🕒 Date: 2026-01-03 | ⏱️ Read time: 10 min read
Check the tools your LLM uses before replacing it with just a more powerful model
#DataScience #AI #Python
🗂 Category: AGENTIC AI
🕒 Date: 2026-01-03 | ⏱️ Read time: 10 min read
Check the tools your LLM uses before replacing it with just a more powerful model
#DataScience #AI #Python
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A convenient cheat sheet for those who work with data analysis and ML.
Here are collected the main functions for:
▶️ Creating and modifying arrays;▶️ Mathematical operations;▶️ Working with matrices and vectors;▶️ Sorting and searching for values.
Save it for yourself — it will come in handy when working with NumPy.
tags: #NumPy #Python
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📌 Prompt Engineering vs RAG for Editing Resumes
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-01-04 | ⏱️ Read time: 12 min read
Running a code-free comparison in Azure
#DataScience #AI #Python
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-01-04 | ⏱️ Read time: 12 min read
Running a code-free comparison in Azure
#DataScience #AI #Python
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📌 How to Filter for Dates, Including or Excluding Future Dates, in Semantic Models
🗂 Category: DATA ANALYSIS
🕒 Date: 2026-01-04 | ⏱️ Read time: 5 min read
It is common to have either planning data or the previous year’s data displayed beyond…
#DataScience #AI #Python
🗂 Category: DATA ANALYSIS
🕒 Date: 2026-01-04 | ⏱️ Read time: 5 min read
It is common to have either planning data or the previous year’s data displayed beyond…
#DataScience #AI #Python
nature papers: 1400$
Q1 and Q2 papers 900$
Q3 and Q4 papers 500$
Doctoral thesis (complete) 700$
M.S thesis 300$
paper simulation 200$
Contact me
https://t.me/m/-nTmpj5vYzNk
Q1 and Q2 papers 900$
Q3 and Q4 papers 500$
Doctoral thesis (complete) 700$
M.S thesis 300$
paper simulation 200$
Contact me
https://t.me/m/-nTmpj5vYzNk
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OnSpace Mobile App builder: Build AI Apps in minutes
Visit website: https://www.onspace.ai/?via=tg_datas
Or Download app:https://onspace.onelink.me/za8S/h1jb6sb9?c=datas
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
What will you get:
✔️ Create app or website by chatting with AI;
✔️ Integrate with Any top AI power just by giving order (like Sora2, Nanobanan Pro & Gemini 3 Pro);
✔️ Download APK,AAB file, publish to AppStore.
✔️ Add payments and monetize like in-app-purchase and Stripe.
✔️ Functional login & signup.
✔️ Database + dashboard in minutes.
✔️ Full tutorial on YouTube and within 1 day customer service
Visit website: https://www.onspace.ai/?via=tg_datas
Or Download app:https://onspace.onelink.me/za8S/h1jb6sb9?c=datas
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
What will you get:
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📌 Stop Blaming the Data: A Better Way to Handle Covariance Shift
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-05 | ⏱️ Read time: 9 min read
Instead of using shift as an excuse for poor performance, use Inverse Probability Weighting to…
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-05 | ⏱️ Read time: 9 min read
Instead of using shift as an excuse for poor performance, use Inverse Probability Weighting to…
#DataScience #AI #Python
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📌 YOLOv1 Loss Function Walkthrough: Regression for All
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-05 | ⏱️ Read time: 26 min read
An explanation of how YOLOv1 measures the correctness of its object detection and classification predictions
#DataScience #AI #Python
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-05 | ⏱️ Read time: 26 min read
An explanation of how YOLOv1 measures the correctness of its object detection and classification predictions
#DataScience #AI #Python
📌 How to Optimize Your AI Coding Agent Context
🗂 Category: PROGRAMMING
🕒 Date: 2026-01-06 | ⏱️ Read time: 7 min read
Make your coding agents more efficient
#DataScience #AI #Python
🗂 Category: PROGRAMMING
🕒 Date: 2026-01-06 | ⏱️ Read time: 7 min read
Make your coding agents more efficient
#DataScience #AI #Python
📌 GliNER2: Extracting Structured Information from Text
🗂 Category: NATURAL LANGUAGE PROCESSING
🕒 Date: 2026-01-06 | ⏱️ Read time: 11 min read
From unstructured text to structured Knowledge Graphs
#DataScience #AI #Python
🗂 Category: NATURAL LANGUAGE PROCESSING
🕒 Date: 2026-01-06 | ⏱️ Read time: 11 min read
From unstructured text to structured Knowledge Graphs
#DataScience #AI #Python
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📌 Feature Detection, Part 3: Harris Corner Detection
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-05 | ⏱️ Read time: 7 min read
Finding the most informative points in images
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-05 | ⏱️ Read time: 7 min read
Finding the most informative points in images
#DataScience #AI #Python
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📌 Measuring What Matters with NeMo Agent Toolkit
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-01-06 | ⏱️ Read time: 13 min read
A practical guide to observability, evaluations, and model comparisons
#DataScience #AI #Python
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-01-06 | ⏱️ Read time: 13 min read
A practical guide to observability, evaluations, and model comparisons
#DataScience #AI #Python
📌 The Best Data Scientists Are Always Learning
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-06 | ⏱️ Read time: 10 min read
Part 2: Avoiding burnout, learning strategies and the superpower of solitude
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-06 | ⏱️ Read time: 10 min read
Part 2: Avoiding burnout, learning strategies and the superpower of solitude
#DataScience #AI #Python
nature papers: 1400$
Q1 and Q2 papers 900$
Q3 and Q4 papers 500$
Doctoral thesis (complete) 700$
M.S thesis 300$
paper simulation 200$
Contact me
https://t.me/m/-nTmpj5vYzNk
Q1 and Q2 papers 900$
Q3 and Q4 papers 500$
Doctoral thesis (complete) 700$
M.S thesis 300$
paper simulation 200$
Contact me
https://t.me/m/-nTmpj5vYzNk
❤1
📌 HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-07 | ⏱️ Read time: 18 min read
How approximate vector search silently degrades Recall—and what to do about It
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-07 | ⏱️ Read time: 18 min read
How approximate vector search silently degrades Recall—and what to do about It
#DataScience #AI #Python
📌 I Evaluated Half a Million Credit Records with Federated Learning. Here’s What I Found
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-07 | ⏱️ Read time: 12 min read
Why privacy breaks fairness at small scale—and how collaboration fixes both without sharing a single…
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-07 | ⏱️ Read time: 12 min read
Why privacy breaks fairness at small scale—and how collaboration fixes both without sharing a single…
#DataScience #AI #Python
📌 Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-07 | ⏱️ Read time: 21 min read
Human-guided AI collaboration
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-07 | ⏱️ Read time: 21 min read
Human-guided AI collaboration
#DataScience #AI #Python
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Forwarded from Machine Learning with Python
𝐒𝐮𝐩𝐩𝐨𝐫𝐭_𝐕𝐞𝐜𝐭𝐨𝐫_𝐌𝐚𝐜𝐡𝐢𝐧𝐞𝐬_𝐒𝐕𝐌.pdf
5.8 MB
📐 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐕𝐞𝐜𝐭𝐨𝐫 𝐌𝐚𝐜𝐡𝐢𝐧𝐞𝐬 (𝐒𝐕𝐌)
🔹 What I covered today
What SVM is and how it works
Concept of hyperplane, margin, and support vectors
Hard margin vs Soft margin
Role of kernel trick
When SVM performs better than other classifiers
🎯 𝐓𝐨𝐩 𝟏𝟎 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 (𝐌𝐮𝐬𝐭-𝐊𝐧𝐨𝐰)
1️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘚𝘶𝘱𝘱𝘰𝘳𝘵 𝘝𝘦𝘤𝘵𝘰𝘳 𝘔𝘢𝘤𝘩𝘪𝘯𝘦 (𝘚𝘝𝘔)?
2️⃣ 𝘞𝘩𝘢𝘵 𝘢𝘳𝘦 𝘴𝘶𝘱𝘱𝘰𝘳𝘵 𝘷𝘦𝘤𝘵𝘰𝘳𝘴?
3️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘢 𝘮𝘢𝘳𝘨𝘪𝘯 𝘪𝘯 𝘚𝘝𝘔?
4️⃣ 𝘋𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘩𝘢𝘳𝘥 𝘮𝘢𝘳𝘨𝘪𝘯 𝘢𝘯𝘥 𝘴𝘰𝘧𝘵 𝘮𝘢𝘳𝘨𝘪𝘯?
5️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘬𝘦𝘳𝘯𝘦𝘭 𝘵𝘳𝘪𝘤𝘬 𝘢𝘯𝘥 𝘸𝘩𝘺 𝘪𝘴 𝘪𝘵 𝘯𝘦𝘦𝘥𝘦𝘥?
6️⃣ 𝘊𝘰𝘮𝘮𝘰𝘯 𝘬𝘦𝘳𝘯𝘦𝘭𝘴 𝘶𝘴𝘦𝘥 𝘪𝘯 𝘚𝘝𝘔 (𝘓𝘪𝘯𝘦𝘢𝘳, 𝘗𝘰𝘭𝘺𝘯𝘰𝘮𝘪𝘢𝘭, 𝘙𝘉𝘍)?
7️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘳𝘰𝘭𝘦 𝘰𝘧 𝘊 (𝘳𝘦𝘨𝘶𝘭𝘢𝘳𝘪𝘻𝘢𝘵𝘪𝘰𝘯 𝘱𝘢𝘳𝘢𝘮𝘦𝘵𝘦𝘳)?
8️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘨𝘢𝘮𝘮𝘢 𝘪𝘯 𝘙𝘉𝘍 𝘬𝘦𝘳𝘯𝘦𝘭?
9️⃣ 𝘊𝘢𝘯 #𝘚𝘝𝘔 𝘣𝘦 𝘶𝘴𝘦𝘥 𝘧𝘰𝘳 𝘳𝘦𝘨𝘳𝘦𝘴𝘴𝘪𝘰𝘯? (𝘚𝘝𝘙)
🔟 𝘞𝘩𝘦𝘯 𝘴𝘩𝘰𝘶𝘭𝘥 𝘺𝘰𝘶 𝘢𝘷𝘰𝘪𝘥 𝘶𝘴𝘪𝘯𝘨 𝘚𝘝𝘔?
https://t.me/CodeProgrammer✈️
🔹 What I covered today
What SVM is and how it works
Concept of hyperplane, margin, and support vectors
Hard margin vs Soft margin
Role of kernel trick
When SVM performs better than other classifiers
🎯 𝐓𝐨𝐩 𝟏𝟎 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 (𝐌𝐮𝐬𝐭-𝐊𝐧𝐨𝐰)
1️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘚𝘶𝘱𝘱𝘰𝘳𝘵 𝘝𝘦𝘤𝘵𝘰𝘳 𝘔𝘢𝘤𝘩𝘪𝘯𝘦 (𝘚𝘝𝘔)?
2️⃣ 𝘞𝘩𝘢𝘵 𝘢𝘳𝘦 𝘴𝘶𝘱𝘱𝘰𝘳𝘵 𝘷𝘦𝘤𝘵𝘰𝘳𝘴?
3️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘢 𝘮𝘢𝘳𝘨𝘪𝘯 𝘪𝘯 𝘚𝘝𝘔?
4️⃣ 𝘋𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘩𝘢𝘳𝘥 𝘮𝘢𝘳𝘨𝘪𝘯 𝘢𝘯𝘥 𝘴𝘰𝘧𝘵 𝘮𝘢𝘳𝘨𝘪𝘯?
5️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘬𝘦𝘳𝘯𝘦𝘭 𝘵𝘳𝘪𝘤𝘬 𝘢𝘯𝘥 𝘸𝘩𝘺 𝘪𝘴 𝘪𝘵 𝘯𝘦𝘦𝘥𝘦𝘥?
6️⃣ 𝘊𝘰𝘮𝘮𝘰𝘯 𝘬𝘦𝘳𝘯𝘦𝘭𝘴 𝘶𝘴𝘦𝘥 𝘪𝘯 𝘚𝘝𝘔 (𝘓𝘪𝘯𝘦𝘢𝘳, 𝘗𝘰𝘭𝘺𝘯𝘰𝘮𝘪𝘢𝘭, 𝘙𝘉𝘍)?
7️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘳𝘰𝘭𝘦 𝘰𝘧 𝘊 (𝘳𝘦𝘨𝘶𝘭𝘢𝘳𝘪𝘻𝘢𝘵𝘪𝘰𝘯 𝘱𝘢𝘳𝘢𝘮𝘦𝘵𝘦𝘳)?
8️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘨𝘢𝘮𝘮𝘢 𝘪𝘯 𝘙𝘉𝘍 𝘬𝘦𝘳𝘯𝘦𝘭?
9️⃣ 𝘊𝘢𝘯 #𝘚𝘝𝘔 𝘣𝘦 𝘶𝘴𝘦𝘥 𝘧𝘰𝘳 𝘳𝘦𝘨𝘳𝘦𝘴𝘴𝘪𝘰𝘯? (𝘚𝘝𝘙)
🔟 𝘞𝘩𝘦𝘯 𝘴𝘩𝘰𝘶𝘭𝘥 𝘺𝘰𝘶 𝘢𝘷𝘰𝘪𝘥 𝘶𝘴𝘪𝘯𝘨 𝘚𝘝𝘔?
https://t.me/CodeProgrammer
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